Data Mining: Know It All

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology.

The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining.

This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.

• Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.


• Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions.


• Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.

這本書將數據挖掘的所有要素集結在一個單一的卷中，節省了讀者購買多本書的時間和費用。它整合了入門和高級主題，從數據整合和預處理，到基本算法，再到優化技術和網絡挖掘方法，涵蓋了數據挖掘和機器學習策略的全方位內容。

本書精心結合了摩根考夫曼（Morgan Kaufmann）出版社的最佳數據挖掘資料。各個章節來自一群在該領域中最優秀的作者所撰寫的MK書籍。這些章節被結合成一個綜合性的卷，以便作為對數據挖掘新興和發展方面感興趣的人的參考工具。

這本書提供了一種快速高效的方式，將領先的數據挖掘專家的寶貴內容結合在一起，從而為客戶提供了一個明確的、一站式的機會，讓他們獲得他們在其他來源中需要整合的信息。

以下是本書的幾個特點：
- 各個領域的認可專家撰寫的章節，讓讀者能夠從多個觀點保持最新和全面的信息。
- 提供多種分析方法和算法問題解決技巧，增強讀者的技術專長和實施實際解決方案的能力。
- 理論和實踐的兼顧，將數據挖掘的所有要素集結在一個單一的卷中，節省了讀者購買多本書的時間和費用。